TITLE PAGE - acumen - The University of Alabama
TITLE PAGE - acumen - The University of Alabama
TITLE PAGE - acumen - The University of Alabama
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
the two end-members. This conservative approach to calculating contribution <strong>of</strong> novel carbon to<br />
consumer biomass has been used successfully in similar additions <strong>of</strong> C4-plant carbon (e.g.,<br />
Wilcox et al. 2005).<br />
Data analyses<br />
Changes in both standing crop organic matter and organismal biomass before and after<br />
the litter amendment were assessed using an unreplicated BACI analysis (Stewart-Oaten et al.<br />
1986; Schroeter et al. 1993). For each parameter <strong>of</strong> interest, the mean monthly value from the<br />
control reach was subtracted from the corresponding monthly manipulation reach value (e.g.<br />
monthly effect size). <strong>The</strong>n, either a Student’s paired t-test or a Wilcoxon signed-rank test (for<br />
non-normally distributed data) was used to compare the mean monthly effect sizes before and<br />
after the litter amendment.<br />
Three multivariate techniques were used to compare macroinvertebrate community<br />
structure from the core samples among study reaches before and after the litter addition: analysis<br />
<strong>of</strong> similarities (ANOSIM), non-metric multidimensional scaling (nMDS) ordination and<br />
similarity percentages (SIMPER). Similarity matrices were first computed using the Bray-Curtis<br />
coefficient on untransformed biomass data. <strong>The</strong> original data set (n = 400) was reduced by<br />
averaging samples within each month and study reach (n = 40). First, we used nMDS to generate<br />
graphical summaries <strong>of</strong> the relationships in community structure between reaches. Bubble plots<br />
were incorporated into the nMDS ordinations to illustrate trends in community composition and<br />
taxon biomass between reaches. Second, we performed one-way ANOSIMs to test for an effect<br />
<strong>of</strong> reach identity on community structure. Finally, we used the SIMPER routine to identify those<br />
taxa that contributed disproportionately to the overall dissimilarity in community structure<br />
46